07 2022 档案
摘要:14 TEMPORAL GRAPH NETWORKS FOR DEEP LEARNING ON DYNAMIC GRAPHS link:https://scholar.google.com.hk/scholar_url?url=https://arxiv.org/pdf/2006.10637.pdf
阅读全文
摘要:13 A Data-Driven Graph Generative Model for Temporal Interaction Networks link:https://scholar.google.com.sg/scholar_url?url=https://par.nsf.gov/servl
阅读全文
摘要:12 Inductive Representation Learning on Temporal Graphs link:https://arxiv.org/abs/2002.07962 本文提出了时间图注意(TGAT)层,以有效地聚合时间-拓扑邻域特征,并学习时间-特征之间的相互作用。对于TGAT
阅读全文
摘要:11 GloDyNE Global Topology Preserving Dynamic Network Embedding link:http://arxiv.org/abs/2008.01935 Abstract 目前大多数现有的DNE方法的思想是捕捉最受影响的节点(而不是所有节点)或周围的拓
阅读全文

浙公网安备 33010602011771号